文件名称:deep_learning_tutorial
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deep learning tutorial
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下载文件列表
deep_learning_tutorial\Efficient Learning of Sparse Representations with an Energy-Based Model.pdf
......................\learning deep architectures for AI.pdf
......................\RBM\A fast learning algorithm for deep belief nets.pdf
......................\...\A new learning algorithm for mean field boltzmann machines.pdf
......................\...\guideTR.pdf
......................\...\modeling image patches with a directed hierarchy of markov random fields.pdf
......................\...\NotesOnCD.pdf
......................\...\On Contrastive Divergence Learning.pdf
......................\...\Reducing the Dimensionality with DNN - science - supp.pdf
......................\...\Reducing the Dimensionality with DNN - science.pdf
......................\slidesBengio.pdf
......................\Stanford 教授 Andrew Ng 的 Deep Learning 教程\01.pdf
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......................\Unsupervised Learning of Invariant Feature Hierarchies with Applications to Object Recognition.pdf
......................\What Regularized Auto-Encoders Learn from the Data Generating Distribut....pdf
......................\RBM
......................\Stanford 教授 Andrew Ng 的 Deep Learning 教程
deep_learning_tutorial